Marta Sans

1.6k total citations
19 papers, 902 citations indexed

About

Marta Sans is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Marta Sans has authored 19 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Spectroscopy, 6 papers in Molecular Biology and 4 papers in Computational Mechanics. Recurrent topics in Marta Sans's work include Mass Spectrometry Techniques and Applications (8 papers), Advanced Proteomics Techniques and Applications (5 papers) and Ion-surface interactions and analysis (4 papers). Marta Sans is often cited by papers focused on Mass Spectrometry Techniques and Applications (8 papers), Advanced Proteomics Techniques and Applications (5 papers) and Ion-surface interactions and analysis (4 papers). Marta Sans collaborates with scholars based in United States, Spain and Russia. Marta Sans's co-authors include Lívia S. Eberlin, Jialing Zhang, Clara L. Feider, Jinsong Liu, Kyana Y. Garza, John Q. Lin, Jonathan H. Young, Noah Giese, Rachel J. DeHoog and James Suliburk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Cancer Research.

In The Last Decade

Marta Sans

19 papers receiving 890 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marta Sans United States 12 474 442 192 74 63 19 902
John Q. Lin United States 13 481 1.0× 426 1.0× 133 0.7× 78 1.1× 69 1.1× 20 841
Jonathan H. Young United States 10 321 0.7× 393 0.9× 110 0.6× 56 0.8× 40 0.6× 14 676
Carla F. Newman United Kingdom 9 286 0.6× 349 0.8× 103 0.5× 187 2.5× 66 1.0× 14 761
Abigail V.M. Speller United Kingdom 9 500 1.1× 475 1.1× 97 0.5× 93 1.3× 59 0.9× 18 786
Nathan Heath Patterson United States 22 694 1.5× 692 1.6× 53 0.3× 133 1.8× 54 0.9× 43 1.1k
Dukjin Kang South Korea 20 152 0.3× 516 1.2× 188 1.0× 308 4.2× 13 0.2× 54 1.1k
Bram Heijs Netherlands 22 650 1.4× 960 2.2× 51 0.3× 76 1.0× 21 0.3× 45 1.3k
Susan E. Abbatiello United States 16 797 1.7× 883 2.0× 73 0.4× 22 0.3× 21 0.3× 19 1.2k
Wendong Chen China 16 443 0.9× 470 1.1× 128 0.7× 18 0.2× 60 1.0× 43 802
Nima Abbassi‐Ghadi United Kingdom 19 420 0.9× 465 1.1× 411 2.1× 56 0.8× 29 0.5× 37 1.4k

Countries citing papers authored by Marta Sans

Since Specialization
Citations

This map shows the geographic impact of Marta Sans's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marta Sans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Sans more than expected).

Fields of papers citing papers by Marta Sans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta Sans. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marta Sans. The network helps show where Marta Sans may publish in the future.

Co-authorship network of co-authors of Marta Sans

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Sans. A scholar is included among the top collaborators of Marta Sans based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marta Sans. Marta Sans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Makino, Yuki, Kimal Rajapakshe, Benson Chellakkan Selvanesan, et al.. (2024). Metabolic reprogramming by mutant GNAS creates an actionable dependency in intraductal papillary mucinous neoplasms of the pancreas. Gut. 74(1). 75–88. 2 indexed citations
2.
3.
DeHoog, Rachel J., Mary Etta King, Michael F. Keating, et al.. (2023). Intraoperative Identification of Thyroid and Parathyroid Tissues During Human Endocrine Surgery Using the MasSpec Pen. JAMA Surgery. 158(10). 1050–1050. 10 indexed citations
4.
Sans, Marta, et al.. (2022). Deeper Understanding of Solvent-Based Ambient Ionization Mass Spectrometry: Are Molecular Profiles Primarily Dictated by Extraction Mechanisms?. Analytical Chemistry. 94(42). 14734–14744. 8 indexed citations
5.
King, Mary Etta, Jialing Zhang, John Q. Lin, et al.. (2021). Rapid diagnosis and tumor margin assessment during pancreatic cancer surgery with the MasSpec Pen technology. Proceedings of the National Academy of Sciences. 118(28). 50 indexed citations
6.
Sans, Marta, Anna Krieger, Bryan R. Wygant, et al.. (2020). Spatially Controlled Molecular Analysis of Biological Samples Using Nanodroplet Arrays and Direct Droplet Aspiration. Journal of the American Society for Mass Spectrometry. 31(2). 418–428. 7 indexed citations
7.
Zhang, Jialing, Marta Sans, Kyana Y. Garza, & Lívia S. Eberlin. (2020). MASS SPECTROMETRY TECHNOLOGIES TO ADVANCE CARE FOR CANCER PATIENTS IN CLINICAL AND INTRAOPERATIVE USE. Mass Spectrometry Reviews. 40(5). 692–720. 32 indexed citations
8.
Simoska, Olja, Marta Sans, Lívia S. Eberlin, Jason B. Shear, & Keith J. Stevenson. (2019). Electrochemical monitoring of the impact of polymicrobial infections on Pseudomonas aeruginosa and growth dependent medium. Biosensors and Bioelectronics. 142. 111538–111538. 34 indexed citations
9.
Sans, Marta, Jialing Zhang, John Q. Lin, et al.. (2019). Performance of the MasSpec Pen for Rapid Diagnosis of Ovarian Cancer. Clinical Chemistry. 65(5). 674–683. 78 indexed citations
10.
Simoska, Olja, Marta Sans, Christopher M. Crittenden, et al.. (2018). Real-Time Electrochemical Detection of Pseudomonas aeruginosa Phenazine Metabolites Using Transparent Carbon Ultramicroelectrode Arrays. ACS Sensors. 4(1). 170–179. 69 indexed citations
11.
Feider, Clara L., Rachel J. DeHoog, Marta Sans, et al.. (2018). DESI Spray Stability in the Negative Ion Mode Is Dependent on Relative Humidity. Journal of the American Society for Mass Spectrometry. 30(2). 376–380. 10 indexed citations
12.
Zhang, Jialing, John Q. Lin, Jonathan H. Young, et al.. (2017). Nondestructive tissue analysis for ex vivo and in vivo cancer diagnosis using a handheld mass spectrometry system. Science Translational Medicine. 9(406). 300 indexed citations
13.
Sans, Marta, Kshipra M. Gharpure, Robert Tibshirani, et al.. (2017). Metabolic Markers and Statistical Prediction of Serous Ovarian Cancer Aggressiveness by Ambient Ionization Mass Spectrometry Imaging. Cancer Research. 77(11). 2903–2913. 97 indexed citations
14.
Sans, Marta, Clara L. Feider, & Lívia S. Eberlin. (2017). Advances in mass spectrometry imaging coupled to ion mobility spectrometry for enhanced imaging of biological tissues. Current Opinion in Chemical Biology. 42. 138–146. 85 indexed citations
15.
Moragas, Ana, et al.. (1998). Image analysis of dermal collagen changes during skin aging.. PubMed. 20(6). 493–9. 28 indexed citations
16.
Sans, Marta, et al.. (1993). Mathematical morphologic analysis of the aortic medial structure. Biomechanical implications.. PubMed. 15(2). 93–100. 21 indexed citations
17.
Sans, Marta, et al.. (1993). Mathematical morphologic analysis of aging-related epidermal changes.. PubMed. 15(2). 75–82. 41 indexed citations
18.
Vallespı́, Teresa, et al.. (1991). Myelodysplastic syndrome associated with chronic lymphocytic leukaemia: A report of three cases. Leukemia Research. 15. 20–20. 2 indexed citations
19.
Sans, Marta. (1974). [Amygdalectomy: indications and complications (author's transl)].. PubMed. 63(32). 961–3. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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